Overview

Dataset statistics

Number of variables27
Number of observations136916
Missing cells3
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory28.2 MiB
Average record size in memory216.0 B

Variable types

Categorical1
Text1
Numeric25

Alerts

AANTAL_BSN is highly overall correlated with AANTAL_VERZEKERDEJAREN and 12 other fieldsHigh correlation
AANTAL_VERZEKERDEJAREN is highly overall correlated with AANTAL_BSN and 13 other fieldsHigh correlation
GESLACHT is highly overall correlated with AANTAL_BSN and 5 other fieldsHigh correlation
KOSTEN_FARMACIE is highly overall correlated with AANTAL_BSN and 12 other fieldsHigh correlation
KOSTEN_GENERALISTISCHE_BASIS_GGZ is highly overall correlated with AANTAL_BSN and 2 other fieldsHigh correlation
KOSTEN_GERIATRISCHE_REVALIDATIEZORG is highly overall correlated with KOSTEN_VERPLEGING_EN_VERZORGING and 1 other fieldsHigh correlation
KOSTEN_GRENSOVERSCHRIJDENDE_ZORG is highly overall correlated with AANTAL_BSN and 5 other fieldsHigh correlation
KOSTEN_HUISARTS_CONSULT is highly overall correlated with AANTAL_BSN and 14 other fieldsHigh correlation
KOSTEN_HUISARTS_INSCHRIJFTARIEF is highly overall correlated with AANTAL_BSN and 15 other fieldsHigh correlation
KOSTEN_HUISARTS_MDZ is highly overall correlated with KOSTEN_FARMACIE and 7 other fieldsHigh correlation
KOSTEN_HUISARTS_OVERIG is highly overall correlated with AANTAL_BSN and 13 other fieldsHigh correlation
KOSTEN_HULPMIDDELEN is highly overall correlated with AANTAL_BSN and 11 other fieldsHigh correlation
KOSTEN_KRAAMZORG is highly overall correlated with KOSTEN_VERLOSKUNDIGE_ZORGHigh correlation
KOSTEN_MEDISCH_SPECIALISTISCHE_ZORG is highly overall correlated with AANTAL_BSN and 13 other fieldsHigh correlation
KOSTEN_MONDZORG is highly overall correlated with AANTAL_VERZEKERDEJAREN and 3 other fieldsHigh correlation
KOSTEN_OVERIG is highly overall correlated with KOSTEN_FARMACIE and 6 other fieldsHigh correlation
KOSTEN_PARAMEDISCHE_ZORG_FYSIOTHERAPIE is highly overall correlated with AANTAL_BSN and 9 other fieldsHigh correlation
KOSTEN_PARAMEDISCHE_ZORG_OVERIG is highly overall correlated with AANTAL_BSN and 6 other fieldsHigh correlation
KOSTEN_SPECIALISTISCHE_GGZ is highly overall correlated with AANTAL_BSN and 4 other fieldsHigh correlation
KOSTEN_VERLOSKUNDIGE_ZORG is highly overall correlated with KOSTEN_KRAAMZORGHigh correlation
KOSTEN_VERPLEGING_EN_VERZORGING is highly overall correlated with KOSTEN_FARMACIE and 6 other fieldsHigh correlation
KOSTEN_ZIEKENVERVOER_LIGGEND is highly overall correlated with KOSTEN_FARMACIE and 9 other fieldsHigh correlation
KOSTEN_ZIEKENVERVOER_ZITTEND is highly overall correlated with KOSTEN_FARMACIE and 1 other fieldsHigh correlation
AANTAL_BSN is highly skewed (γ1 = 359.9627084)Skewed
AANTAL_VERZEKERDEJAREN is highly skewed (γ1 = 339.5691361)Skewed
KOSTEN_MEDISCH_SPECIALISTISCHE_ZORG is highly skewed (γ1 = 52.17140102)Skewed
KOSTEN_FARMACIE is highly skewed (γ1 = 29.41423327)Skewed
KOSTEN_SPECIALISTISCHE_GGZ is highly skewed (γ1 = 27.03511978)Skewed
KOSTEN_HUISARTS_INSCHRIJFTARIEF is highly skewed (γ1 = 190.2163179)Skewed
KOSTEN_HUISARTS_CONSULT is highly skewed (γ1 = 44.70295717)Skewed
KOSTEN_HUISARTS_OVERIG is highly skewed (γ1 = 195.4210711)Skewed
KOSTEN_ZIEKENVERVOER_LIGGEND is highly skewed (γ1 = 80.99502686)Skewed
KOSTEN_GENERALISTISCHE_BASIS_GGZ is highly skewed (γ1 = 26.69994527)Skewed
KOSTEN_GRENSOVERSCHRIJDENDE_ZORG is highly skewed (γ1 = 366.9142618)Skewed
KOSTEN_SPECIALISTISCHE_GGZ has 52814 (38.6%) zerosZeros
KOSTEN_HUISARTS_MDZ has 11082 (8.1%) zerosZeros
KOSTEN_HULPMIDDELEN has 6525 (4.8%) zerosZeros
KOSTEN_MONDZORG has 27688 (20.2%) zerosZeros
KOSTEN_PARAMEDISCHE_ZORG_FYSIOTHERAPIE has 29337 (21.4%) zerosZeros
KOSTEN_PARAMEDISCHE_ZORG_OVERIG has 22856 (16.7%) zerosZeros
KOSTEN_ZIEKENVERVOER_ZITTEND has 88328 (64.5%) zerosZeros
KOSTEN_ZIEKENVERVOER_LIGGEND has 32887 (24.0%) zerosZeros
KOSTEN_KRAAMZORG has 119707 (87.4%) zerosZeros
KOSTEN_VERLOSKUNDIGE_ZORG has 118983 (86.9%) zerosZeros
KOSTEN_GENERALISTISCHE_BASIS_GGZ has 75148 (54.9%) zerosZeros
KOSTEN_LANGDURIGE_GGZ has 134601 (98.3%) zerosZeros
KOSTEN_GRENSOVERSCHRIJDENDE_ZORG has 53547 (39.1%) zerosZeros
KOSTEN_EERSTELIJNS_ONDERSTEUNING has 58122 (42.5%) zerosZeros
KOSTEN_GERIATRISCHE_REVALIDATIEZORG has 113073 (82.6%) zerosZeros
KOSTEN_VERPLEGING_EN_VERZORGING has 63022 (46.0%) zerosZeros
KOSTEN_OVERIG has 48825 (35.7%) zerosZeros

Reproduction

Analysis started2026-01-13 18:39:26.722971
Analysis finished2026-01-13 18:40:28.901395
Duration1 minute and 2.18 seconds
Software versionydata-profiling v0.0.dev0
Download configurationconfig.json

Variables

GESLACHT
Categorical

High correlation 

Distinct2
Distinct (%)< 0.1%
Missing1
Missing (%)< 0.1%
Memory size1.0 MiB
V
68671 
M
68244 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters136915
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowM
2nd rowM
3rd rowM
4th rowM
5th rowM

Common Values

ValueCountFrequency (%)
V68671
50.2%
M68244
49.8%
(Missing)1
 
< 0.1%

Length

2026-01-13T18:40:28.952817image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2026-01-13T18:40:29.005967image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
v68671
50.2%
m68244
49.8%

Most occurring characters

ValueCountFrequency (%)
V68671
50.2%
M68244
49.8%

Most occurring categories

ValueCountFrequency (%)
(unknown)136915
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
V68671
50.2%
M68244
49.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown)136915
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
V68671
50.2%
M68244
49.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown)136915
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
V68671
50.2%
M68244
49.8%
Distinct91
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Memory size1.0 MiB
2026-01-13T18:40:29.155099image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length3
Median length2
Mean length1.8997334
Min length1

Characters and Unicode

Total characters260102
Distinct characters11
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0
ValueCountFrequency (%)
541562
 
1.1%
481559
 
1.1%
571559
 
1.1%
521558
 
1.1%
551558
 
1.1%
501558
 
1.1%
471557
 
1.1%
511556
 
1.1%
601556
 
1.1%
491556
 
1.1%
Other values (81)121336
88.6%
2026-01-13T18:40:29.401858image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
529124
11.2%
129067
11.2%
629022
11.2%
429012
11.2%
328759
11.1%
228743
11.1%
728500
11.0%
826575
10.2%
015142
5.8%
914724
5.7%

Most occurring categories

ValueCountFrequency (%)
(unknown)260102
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
529124
11.2%
129067
11.2%
629022
11.2%
429012
11.2%
328759
11.1%
228743
11.1%
728500
11.0%
826575
10.2%
015142
5.8%
914724
5.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown)260102
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
529124
11.2%
129067
11.2%
629022
11.2%
429012
11.2%
328759
11.1%
228743
11.1%
728500
11.0%
826575
10.2%
015142
5.8%
914724
5.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown)260102
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
529124
11.2%
129067
11.2%
629022
11.2%
429012
11.2%
328759
11.1%
228743
11.1%
728500
11.0%
826575
10.2%
015142
5.8%
914724
5.7%

POSTCODE_3
Real number (ℝ)

Distinct794
Distinct (%)0.6%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean541.17856
Minimum0
Maximum999
Zeros182
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.0 MiB
2026-01-13T18:40:29.489055image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile144
Q1318
median539
Q3763
95-th percentile955
Maximum999
Range999
Interquartile range (IQR)445

Descriptive statistics

Standard deviation258.22974
Coefficient of variation (CV)0.47716181
Kurtosis-1.1671681
Mean541.17856
Median Absolute Deviation (MAD)223
Skewness0.035766181
Sum74095462
Variance66682.597
MonotonicityNot monotonic
2026-01-13T18:40:29.584852image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
998182
 
0.1%
993182
 
0.1%
990182
 
0.1%
135182
 
0.1%
133182
 
0.1%
132182
 
0.1%
131182
 
0.1%
127182
 
0.1%
126182
 
0.1%
125182
 
0.1%
Other values (784)135095
98.7%
ValueCountFrequency (%)
0182
0.1%
101182
0.1%
102182
0.1%
103182
0.1%
10416
 
< 0.1%
105182
0.1%
106182
0.1%
107182
0.1%
108182
0.1%
109182
0.1%
ValueCountFrequency (%)
999166
0.1%
998182
0.1%
997172
0.1%
996176
0.1%
995180
0.1%
994171
0.1%
993182
0.1%
99284
0.1%
991174
0.1%
990182
0.1%

AANTAL_BSN
Real number (ℝ)

High correlation  Skewed 

Distinct1126
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.83875
Minimum10
Maximum356551
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 MiB
2026-01-13T18:40:29.673530image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile16
Q141
median82
Q3163
95-th percentile381
Maximum356551
Range356541
Interquartile range (IQR)122

Descriptive statistics

Standard deviation972.15351
Coefficient of variation (CV)7.6045294
Kurtosis131972.19
Mean127.83875
Median Absolute Deviation (MAD)50
Skewness359.96271
Sum17503170
Variance945082.45
MonotonicityNot monotonic
2026-01-13T18:40:29.769980image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
191161
 
0.8%
211148
 
0.8%
291147
 
0.8%
221140
 
0.8%
281140
 
0.8%
201137
 
0.8%
181133
 
0.8%
331128
 
0.8%
351127
 
0.8%
301123
 
0.8%
Other values (1116)125532
91.7%
ValueCountFrequency (%)
101022
0.7%
111034
0.8%
121078
0.8%
131066
0.8%
141066
0.8%
151081
0.8%
161095
0.8%
171102
0.8%
181133
0.8%
191161
0.8%
ValueCountFrequency (%)
3565511
< 0.1%
23111
< 0.1%
22921
< 0.1%
22321
< 0.1%
21301
< 0.1%
21251
< 0.1%
20971
< 0.1%
20201
< 0.1%
20191
< 0.1%
19821
< 0.1%

AANTAL_VERZEKERDEJAREN
Real number (ℝ)

High correlation  Skewed 

Distinct34846
Distinct (%)25.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean124.52548
Minimum3.09
Maximum196219.74
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 MiB
2026-01-13T18:40:29.866550image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum3.09
5-th percentile15.27
Q140
median81
Q3160.34
95-th percentile376.0325
Maximum196219.74
Range196216.65
Interquartile range (IQR)120.34

Descriptive statistics

Standard deviation545.37184
Coefficient of variation (CV)4.3796005
Kurtosis122082.86
Mean124.52548
Median Absolute Deviation (MAD)50
Skewness339.56914
Sum17049530
Variance297430.44
MonotonicityNot monotonic
2026-01-13T18:40:30.109094image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12749
 
0.5%
11738
 
0.5%
19718
 
0.5%
21710
 
0.5%
15707
 
0.5%
10704
 
0.5%
16703
 
0.5%
14701
 
0.5%
13689
 
0.5%
18682
 
0.5%
Other values (34836)129815
94.8%
ValueCountFrequency (%)
3.091
< 0.1%
3.951
< 0.1%
4.11
< 0.1%
4.331
< 0.1%
4.471
< 0.1%
4.551
< 0.1%
4.61
< 0.1%
4.71
< 0.1%
4.711
< 0.1%
4.752
< 0.1%
ValueCountFrequency (%)
196219.741
< 0.1%
2220.621
< 0.1%
2191.361
< 0.1%
2130.011
< 0.1%
2047.131
< 0.1%
2044.541
< 0.1%
2015.591
< 0.1%
1935.151
< 0.1%
1920.071
< 0.1%
1888.451
< 0.1%

KOSTEN_MEDISCH_SPECIALISTISCHE_ZORG
Real number (ℝ)

High correlation  Skewed 

Distinct136549
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean165218.8
Minimum-7777
Maximum46978767
Zeros19
Zeros (%)< 0.1%
Negative1
Negative (%)< 0.1%
Memory size1.0 MiB
2026-01-13T18:40:30.204286image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-7777
5-th percentile6303.62
Q132441.967
median88496.32
Q3215527.94
95-th percentile576265.55
Maximum46978767
Range46986544
Interquartile range (IQR)183085.97

Descriptive statistics

Standard deviation246118.06
Coefficient of variation (CV)1.4896492
Kurtosis9567.9535
Mean165218.8
Median Absolute Deviation (MAD)68699.18
Skewness52.171401
Sum2.2621098 × 1010
Variance6.0574099 × 1010
MonotonicityNot monotonic
2026-01-13T18:40:30.297363image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
019
 
< 0.1%
10727.732
 
< 0.1%
84062.812
 
< 0.1%
47971.662
 
< 0.1%
12525.432
 
< 0.1%
14471.362
 
< 0.1%
14029.622
 
< 0.1%
12914.142
 
< 0.1%
174692.612
 
< 0.1%
9696.572
 
< 0.1%
Other values (136539)136879
> 99.9%
ValueCountFrequency (%)
-77771
 
< 0.1%
019
< 0.1%
12.521
 
< 0.1%
231
 
< 0.1%
25.711
 
< 0.1%
31.351
 
< 0.1%
32.761
 
< 0.1%
38.361
 
< 0.1%
39.381
 
< 0.1%
48.521
 
< 0.1%
ValueCountFrequency (%)
46978766.761
< 0.1%
4462180.081
< 0.1%
4142347.51
< 0.1%
3839430.51
< 0.1%
3616606.711
< 0.1%
3608489.091
< 0.1%
3254328.151
< 0.1%
3132180.451
< 0.1%
30865361
< 0.1%
2956602.551
< 0.1%

KOSTEN_FARMACIE
Real number (ℝ)

High correlation  Skewed 

Distinct134842
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33974.632
Minimum14.11
Maximum8368957.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 MiB
2026-01-13T18:40:30.388349image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum14.11
5-th percentile906.0675
Q14957.82
median15929.88
Q343154.03
95-th percentile125922.99
Maximum8368957.1
Range8368943
Interquartile range (IQR)38196.21

Descriptive statistics

Standard deviation54331.6
Coefficient of variation (CV)1.5991814
Kurtosis4067.4161
Mean33974.632
Median Absolute Deviation (MAD)13287.735
Skewness29.414233
Sum4.6516707 × 109
Variance2.9519227 × 109
MonotonicityNot monotonic
2026-01-13T18:40:30.482184image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2848.83
 
< 0.1%
972.283
 
< 0.1%
3227.153
 
< 0.1%
2911.123
 
< 0.1%
28952.863
 
< 0.1%
6985.333
 
< 0.1%
7758.73
 
< 0.1%
1991.883
 
< 0.1%
2306.413
 
< 0.1%
1102.833
 
< 0.1%
Other values (134832)136886
> 99.9%
ValueCountFrequency (%)
14.111
< 0.1%
14.141
< 0.1%
14.161
< 0.1%
14.321
< 0.1%
14.981
< 0.1%
151
< 0.1%
16.261
< 0.1%
16.321
< 0.1%
16.831
< 0.1%
19.871
< 0.1%
ValueCountFrequency (%)
8368957.111
< 0.1%
1231629.741
< 0.1%
1166271.421
< 0.1%
1147381.841
< 0.1%
1015539.561
< 0.1%
970984.661
< 0.1%
927593.721
< 0.1%
923080.71
< 0.1%
904922.341
< 0.1%
892637.91
< 0.1%

KOSTEN_SPECIALISTISCHE_GGZ
Real number (ℝ)

High correlation  Skewed  Zeros 

Distinct69094
Distinct (%)50.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21524.512
Minimum-66348.6
Maximum7669881.8
Zeros52814
Zeros (%)38.6%
Negative5
Negative (%)< 0.1%
Memory size1.0 MiB
2026-01-13T18:40:30.572038image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-66348.6
5-th percentile0
Q10
median2561.32
Q319746.377
95-th percentile108695.9
Maximum7669881.8
Range7736230.4
Interquartile range (IQR)19746.377

Descriptive statistics

Standard deviation51905.62
Coefficient of variation (CV)2.4114655
Kurtosis3468.2366
Mean21524.512
Median Absolute Deviation (MAD)2561.32
Skewness27.03512
Sum2.9470501 × 109
Variance2.6941934 × 109
MonotonicityNot monotonic
2026-01-13T18:40:30.669979image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
052814
38.6%
616.73181
 
0.1%
1109.94163
 
0.1%
2502.32145
 
0.1%
1028.98125
 
0.1%
2500.54106
 
0.1%
2450.7298
 
0.1%
585.6693
 
0.1%
635.0288
 
0.1%
320.7487
 
0.1%
Other values (69084)83016
60.6%
ValueCountFrequency (%)
-66348.61
 
< 0.1%
-56879.221
 
< 0.1%
-28221.911
 
< 0.1%
-17118.931
 
< 0.1%
-15556.561
 
< 0.1%
052814
38.6%
26.951
 
< 0.1%
95.81
 
< 0.1%
99.881
 
< 0.1%
102.261
 
< 0.1%
ValueCountFrequency (%)
7669881.831
< 0.1%
1160281.641
< 0.1%
910582.081
< 0.1%
890716.441
< 0.1%
857109.741
< 0.1%
847733.641
< 0.1%
830797.111
< 0.1%
8108191
< 0.1%
808372.351
< 0.1%
775105.511
< 0.1%

KOSTEN_HUISARTS_INSCHRIJFTARIEF
Real number (ℝ)

High correlation  Skewed 

Distinct35375
Distinct (%)25.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8055.8898
Minimum59.96
Maximum3973069.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 MiB
2026-01-13T18:40:30.767097image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum59.96
5-th percentile1074
Q12698.2
median5456.36
Q310611.45
95-th percentile23699.993
Maximum3973069.5
Range3973009.5
Interquartile range (IQR)7913.25

Descriptive statistics

Standard deviation13390.557
Coefficient of variation (CV)1.662207
Kurtosis56149.538
Mean8055.8898
Median Absolute Deviation (MAD)3327.78
Skewness190.21632
Sum1.1029802 × 109
Variance1.7930701 × 108
MonotonicityNot monotonic
2026-01-13T18:40:30.865325image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
719.52529
 
0.4%
659.56488
 
0.4%
1259.16483
 
0.4%
1019.32477
 
0.3%
1139.24474
 
0.3%
1199.2469
 
0.3%
959.36465
 
0.3%
899.4453
 
0.3%
1319.12452
 
0.3%
599.6446
 
0.3%
Other values (35365)132180
96.5%
ValueCountFrequency (%)
59.961
 
< 0.1%
104.931
 
< 0.1%
149.92
 
< 0.1%
164.898
< 0.1%
179.886
< 0.1%
194.877
< 0.1%
196.541
 
< 0.1%
209.8611
< 0.1%
211.531
 
< 0.1%
224.856
< 0.1%
ValueCountFrequency (%)
3973069.451
< 0.1%
133923.661
< 0.1%
130108.51
< 0.1%
127593.251
< 0.1%
121932.841
< 0.1%
119787.761
< 0.1%
118717.951
< 0.1%
116719.141
< 0.1%
109312.391
< 0.1%
108843.811
< 0.1%

KOSTEN_HUISARTS_CONSULT
Real number (ℝ)

High correlation  Skewed 

Distinct95969
Distinct (%)70.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5202.9354
Minimum0
Maximum1261062.7
Zeros38
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.0 MiB
2026-01-13T18:40:30.961886image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile429.185
Q11440.44
median3217.68
Q36764.4125
95-th percentile16346.91
Maximum1261062.7
Range1261062.7
Interquartile range (IQR)5323.9725

Descriptive statistics

Standard deviation7016.1062
Coefficient of variation (CV)1.34849
Kurtosis7525.289
Mean5202.9354
Median Absolute Deviation (MAD)2165.86
Skewness44.702957
Sum7.123651 × 108
Variance49225747
MonotonicityNot monotonic
2026-01-13T18:40:31.060092image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
038
 
< 0.1%
198.4922
 
< 0.1%
272.3620
 
< 0.1%
249.2720
 
< 0.1%
33719
 
< 0.1%
226.219
 
< 0.1%
332.3719
 
< 0.1%
355.4519
 
< 0.1%
115.3918
 
< 0.1%
272.3718
 
< 0.1%
Other values (95959)136704
99.8%
ValueCountFrequency (%)
038
< 0.1%
1.751
 
< 0.1%
21
 
< 0.1%
2.483
 
< 0.1%
2.921
 
< 0.1%
3.122
 
< 0.1%
3.41
 
< 0.1%
3.51
 
< 0.1%
3.81
 
< 0.1%
4.6217
< 0.1%
ValueCountFrequency (%)
1261062.661
< 0.1%
236449.851
< 0.1%
166311.621
< 0.1%
150052.211
< 0.1%
144627.11
< 0.1%
144054.241
< 0.1%
137037.691
< 0.1%
118429.841
< 0.1%
118425.911
< 0.1%
117121.591
< 0.1%

KOSTEN_HUISARTS_MDZ
Real number (ℝ)

High correlation  Zeros 

Distinct102579
Distinct (%)74.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4141.7536
Minimum0
Maximum793129.65
Zeros11082
Zeros (%)8.1%
Negative0
Negative (%)0.0%
Memory size1.0 MiB
2026-01-13T18:40:31.158256image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1168.6
median1474.31
Q35177.05
95-th percentile17146.29
Maximum793129.65
Range793129.65
Interquartile range (IQR)5008.45

Descriptive statistics

Standard deviation7124.6244
Coefficient of variation (CV)1.7201951
Kurtosis1113.4781
Mean4141.7536
Median Absolute Deviation (MAD)1453.43
Skewness12.896496
Sum5.6707234 × 108
Variance50760272
MonotonicityNot monotonic
2026-01-13T18:40:31.259240image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011082
 
8.1%
0.22177
 
0.1%
22.82160
 
0.1%
0.33157
 
0.1%
41.82137
 
0.1%
414.48124
 
0.1%
235122
 
0.1%
3.2121
 
0.1%
0.26121
 
0.1%
0.55112
 
0.1%
Other values (102569)124603
91.0%
ValueCountFrequency (%)
011082
8.1%
0.1168
 
< 0.1%
0.122
 
< 0.1%
0.1326
 
< 0.1%
0.166
 
< 0.1%
0.176
 
< 0.1%
0.1817
 
< 0.1%
0.22
 
< 0.1%
0.214
 
< 0.1%
0.22177
 
0.1%
ValueCountFrequency (%)
793129.651
< 0.1%
148980.281
< 0.1%
134874.461
< 0.1%
116405.581
< 0.1%
107586.711
< 0.1%
98644.71
< 0.1%
96674.671
< 0.1%
87317.591
< 0.1%
84933.971
< 0.1%
81301.221
< 0.1%

KOSTEN_HUISARTS_OVERIG
Real number (ℝ)

High correlation  Skewed 

Distinct128820
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6182.3304
Minimum-236.47
Maximum3402557.1
Zeros0
Zeros (%)0.0%
Negative1
Negative (%)< 0.1%
Memory size1.0 MiB
2026-01-13T18:40:31.355508image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-236.47
5-th percentile725.16
Q11980.7975
median3995.355
Q37954.2975
95-th percentile18781
Maximum3402557.1
Range3402793.5
Interquartile range (IQR)5973.5

Descriptive statistics

Standard deviation11369.879
Coefficient of variation (CV)1.8390928
Kurtosis58158.583
Mean6182.3304
Median Absolute Deviation (MAD)2480.33
Skewness195.42107
Sum8.4645995 × 108
Variance1.2927416 × 108
MonotonicityNot monotonic
2026-01-13T18:40:31.453098image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1884.754
 
< 0.1%
2232.354
 
< 0.1%
3218.054
 
< 0.1%
2671.144
 
< 0.1%
1083.994
 
< 0.1%
2235.694
 
< 0.1%
1770.464
 
< 0.1%
2543.644
 
< 0.1%
1966.384
 
< 0.1%
1038.094
 
< 0.1%
Other values (128810)136876
> 99.9%
ValueCountFrequency (%)
-236.471
< 0.1%
31.381
< 0.1%
70.321
< 0.1%
72.261
< 0.1%
82.151
< 0.1%
82.431
< 0.1%
84.361
< 0.1%
87.571
< 0.1%
87.711
< 0.1%
89.851
< 0.1%
ValueCountFrequency (%)
3402557.071
< 0.1%
192792.031
< 0.1%
161228.241
< 0.1%
143081.981
< 0.1%
137433.241
< 0.1%
136809.621
< 0.1%
117383.661
< 0.1%
111467.951
< 0.1%
110544.051
< 0.1%
107780.391
< 0.1%

KOSTEN_HULPMIDDELEN
Real number (ℝ)

High correlation  Zeros 

Distinct119605
Distinct (%)87.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10638.331
Minimum0
Maximum1675945.1
Zeros6525
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size1.0 MiB
2026-01-13T18:40:31.549461image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.4075
Q11028.1325
median5060.01
Q313791.972
95-th percentile39410.215
Maximum1675945.1
Range1675945.1
Interquartile range (IQR)12763.84

Descriptive statistics

Standard deviation16990.324
Coefficient of variation (CV)1.5970855
Kurtosis755.64183
Mean10638.331
Median Absolute Deviation (MAD)4713.01
Skewness12.122831
Sum1.4565577 × 109
Variance2.886711 × 108
MonotonicityNot monotonic
2026-01-13T18:40:31.648879image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
06525
 
4.8%
29.1838
 
0.6%
30.55285
 
0.2%
23.5273
 
0.2%
58.2173
 
0.1%
30.71141
 
0.1%
29.42131
 
0.1%
46126
 
0.1%
32.33118
 
0.1%
59.6586
 
0.1%
Other values (119595)128220
93.6%
ValueCountFrequency (%)
06525
4.8%
0.181
 
< 0.1%
0.191
 
< 0.1%
0.23
 
< 0.1%
0.212
 
< 0.1%
0.241
 
< 0.1%
0.261
 
< 0.1%
0.272
 
< 0.1%
0.291
 
< 0.1%
0.312
 
< 0.1%
ValueCountFrequency (%)
1675945.121
< 0.1%
706827.191
< 0.1%
543395.351
< 0.1%
461447.341
< 0.1%
454747.291
< 0.1%
436153.561
< 0.1%
412941.031
< 0.1%
412223.071
< 0.1%
405370.91
< 0.1%
405047.171
< 0.1%

KOSTEN_MONDZORG
Real number (ℝ)

High correlation  Zeros 

Distinct95906
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5379.1956
Minimum-444.08
Maximum938749.29
Zeros27688
Zeros (%)20.2%
Negative20
Negative (%)< 0.1%
Memory size1.0 MiB
2026-01-13T18:40:31.745994image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-444.08
5-th percentile0
Q1144.4775
median1653.65
Q35704.5075
95-th percentile22786.168
Maximum938749.29
Range939193.37
Interquartile range (IQR)5560.03

Descriptive statistics

Standard deviation11338.419
Coefficient of variation (CV)2.1078279
Kurtosis395.02844
Mean5379.1956
Median Absolute Deviation (MAD)1653.65
Skewness9.6610261
Sum7.3649794 × 108
Variance1.2855974 × 108
MonotonicityNot monotonic
2026-01-13T18:40:32.003541image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
027688
 
20.2%
84.98267
 
0.2%
20.44222
 
0.2%
74.19198
 
0.1%
40.88128
 
0.1%
61.3290
 
0.1%
59.5379
 
0.1%
120.375
 
0.1%
162.5575
 
0.1%
156.3170
 
0.1%
Other values (95896)108024
78.9%
ValueCountFrequency (%)
-444.081
 
< 0.1%
-441.91
 
< 0.1%
-83.513
 
< 0.1%
-82.881
 
< 0.1%
-48.021
 
< 0.1%
-46.851
 
< 0.1%
-35.751
 
< 0.1%
-15.031
 
< 0.1%
027688
20.2%
0.012
 
< 0.1%
ValueCountFrequency (%)
938749.291
< 0.1%
271261.51
< 0.1%
270464.061
< 0.1%
265425.581
< 0.1%
261961.261
< 0.1%
255148.131
< 0.1%
254949.171
< 0.1%
234917.241
< 0.1%
232668.481
< 0.1%
226923.051
< 0.1%

KOSTEN_PARAMEDISCHE_ZORG_FYSIOTHERAPIE
Real number (ℝ)

High correlation  Zeros 

Distinct76018
Distinct (%)55.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3625.3103
Minimum0
Maximum340085.91
Zeros29337
Zeros (%)21.4%
Negative0
Negative (%)0.0%
Memory size1.0 MiB
2026-01-13T18:40:32.094850image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1171
median1768.425
Q34883.5
95-th percentile13733.587
Maximum340085.91
Range340085.91
Interquartile range (IQR)4712.5

Descriptive statistics

Standard deviation5253.3449
Coefficient of variation (CV)1.4490746
Kurtosis139.11742
Mean3625.3103
Median Absolute Deviation (MAD)1768.425
Skewness4.8664849
Sum4.9636298 × 108
Variance27597633
MonotonicityNot monotonic
2026-01-13T18:40:32.191616image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
029337
 
21.4%
29.5131
 
0.1%
28.5119
 
0.1%
5998
 
0.1%
85.597
 
0.1%
5793
 
0.1%
88.591
 
0.1%
206.589
 
0.1%
32.7589
 
0.1%
29.2586
 
0.1%
Other values (76008)106686
77.9%
ValueCountFrequency (%)
029337
21.4%
7.121
 
< 0.1%
9.051
 
< 0.1%
101
 
< 0.1%
12.651
 
< 0.1%
151
 
< 0.1%
162
 
< 0.1%
16.61
 
< 0.1%
17.51
 
< 0.1%
17.862
 
< 0.1%
ValueCountFrequency (%)
340085.911
< 0.1%
121763.261
< 0.1%
92821.351
< 0.1%
88719.41
< 0.1%
79761.981
< 0.1%
75395.721
< 0.1%
74152.851
< 0.1%
73666.861
< 0.1%
70915.71
< 0.1%
706971
< 0.1%

KOSTEN_PARAMEDISCHE_ZORG_OVERIG
Real number (ℝ)

High correlation  Zeros 

Distinct74302
Distinct (%)54.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1736.7396
Minimum-46.02
Maximum258441.47
Zeros22856
Zeros (%)16.7%
Negative2
Negative (%)< 0.1%
Memory size1.0 MiB
2026-01-13T18:40:32.288484image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-46.02
5-th percentile0
Q1122.045
median518.47
Q31514.2375
95-th percentile6435.145
Maximum258441.47
Range258487.49
Interquartile range (IQR)1392.1925

Descriptive statistics

Standard deviation5016.9489
Coefficient of variation (CV)2.8887169
Kurtosis247.18961
Mean1736.7396
Median Absolute Deviation (MAD)518.47
Skewness11.488014
Sum2.3778743 × 108
Variance25169776
MonotonicityNot monotonic
2026-01-13T18:40:32.383390image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
022856
 
16.7%
176.88512
 
0.4%
178.8455
 
0.3%
186422
 
0.3%
93376
 
0.3%
88.44375
 
0.3%
117.92358
 
0.3%
180344
 
0.3%
89.4302
 
0.2%
124300
 
0.2%
Other values (74292)110616
80.8%
ValueCountFrequency (%)
-46.021
 
< 0.1%
-28.91
 
< 0.1%
022856
16.7%
3.881
 
< 0.1%
8.941
 
< 0.1%
93
 
< 0.1%
9.681
 
< 0.1%
9.923
 
< 0.1%
101
 
< 0.1%
10.221
 
< 0.1%
ValueCountFrequency (%)
258441.471
< 0.1%
219682.471
< 0.1%
207652.461
< 0.1%
184182.511
< 0.1%
168919.611
< 0.1%
165150.91
< 0.1%
154776.241
< 0.1%
142722.861
< 0.1%
141009.931
< 0.1%
131540.91
< 0.1%

KOSTEN_ZIEKENVERVOER_ZITTEND
Real number (ℝ)

High correlation  Zeros 

Distinct33337
Distinct (%)24.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean760.08146
Minimum-114.92
Maximum136850
Zeros88328
Zeros (%)64.5%
Negative3
Negative (%)< 0.1%
Memory size1.0 MiB
2026-01-13T18:40:32.474099image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-114.92
5-th percentile0
Q10
median0
Q3412.985
95-th percentile4466.335
Maximum136850
Range136964.92
Interquartile range (IQR)412.985

Descriptive statistics

Standard deviation2134.0316
Coefficient of variation (CV)2.8076354
Kurtosis162.84722
Mean760.08146
Median Absolute Deviation (MAD)0
Skewness7.0258945
Sum1.0406731 × 108
Variance4554091
MonotonicityNot monotonic
2026-01-13T18:40:32.566289image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
088328
64.5%
6853
 
< 0.1%
0.846
 
< 0.1%
101.645
 
< 0.1%
28.842
 
< 0.1%
1240
 
< 0.1%
23639
 
< 0.1%
202.438
 
< 0.1%
40435
 
< 0.1%
14.434
 
< 0.1%
Other values (33327)48216
35.2%
ValueCountFrequency (%)
-114.921
 
< 0.1%
-1001
 
< 0.1%
-39.121
 
< 0.1%
088328
64.5%
0.011
 
< 0.1%
0.041
 
< 0.1%
0.051
 
< 0.1%
0.061
 
< 0.1%
0.121
 
< 0.1%
0.152
 
< 0.1%
ValueCountFrequency (%)
1368501
< 0.1%
46078.711
< 0.1%
42960.971
< 0.1%
41745.031
< 0.1%
41298.81
< 0.1%
40493.051
< 0.1%
39954.891
< 0.1%
39794.511
< 0.1%
39333.81
< 0.1%
39110.921
< 0.1%

KOSTEN_ZIEKENVERVOER_LIGGEND
Real number (ℝ)

High correlation  Skewed  Zeros 

Distinct34449
Distinct (%)25.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4087.4063
Minimum0
Maximum1863993.8
Zeros32887
Zeros (%)24.0%
Negative0
Negative (%)0.0%
Memory size1.0 MiB
2026-01-13T18:40:32.660858image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1509.39
median1781.67
Q35094.565
95-th percentile15605.573
Maximum1863993.8
Range1863993.8
Interquartile range (IQR)4585.175

Descriptive statistics

Standard deviation8478.1134
Coefficient of variation (CV)2.0742037
Kurtosis16981.064
Mean4087.4063
Median Absolute Deviation (MAD)1781.67
Skewness80.995027
Sum5.5963132 × 108
Variance71878407
MonotonicityNot monotonic
2026-01-13T18:40:32.758672image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
032887
 
24.0%
697.89903
 
0.7%
721.29901
 
0.7%
693.99829
 
0.6%
729.09799
 
0.6%
701.79774
 
0.6%
736.89764
 
0.6%
713.49762
 
0.6%
717.39759
 
0.6%
705.69743
 
0.5%
Other values (34439)96795
70.7%
ValueCountFrequency (%)
032887
24.0%
6.241
 
< 0.1%
7.61
 
< 0.1%
18.441
 
< 0.1%
23.681
 
< 0.1%
32.161
 
< 0.1%
34.741
 
< 0.1%
57.361
 
< 0.1%
59.041
 
< 0.1%
701
 
< 0.1%
ValueCountFrequency (%)
1863993.751
< 0.1%
334469.071
< 0.1%
277647.961
< 0.1%
246295.681
< 0.1%
227647.731
< 0.1%
203302.081
< 0.1%
196771.071
< 0.1%
196004.541
< 0.1%
189897.131
< 0.1%
189817.371
< 0.1%

KOSTEN_KRAAMZORG
Real number (ℝ)

High correlation  Zeros 

Distinct15582
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2159.7611
Minimum-144.51
Maximum923607.73
Zeros119707
Zeros (%)87.4%
Negative1
Negative (%)< 0.1%
Memory size1.0 MiB
2026-01-13T18:40:32.855210image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-144.51
5-th percentile0
Q10
median0
Q30
95-th percentile11973.157
Maximum923607.73
Range923752.24
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10594.811
Coefficient of variation (CV)4.9055474
Kurtosis528.74078
Mean2159.7611
Median Absolute Deviation (MAD)0
Skewness13.042078
Sum2.9570586 × 108
Variance1.1225001 × 108
MonotonicityNot monotonic
2026-01-13T18:40:32.948290image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0119707
87.4%
21.64223
 
0.2%
86.53122
 
0.1%
43.27100
 
0.1%
108.1685
 
0.1%
104.8962
 
< 0.1%
4052
 
< 0.1%
1038
 
< 0.1%
43.2932
 
< 0.1%
3025
 
< 0.1%
Other values (15572)16470
 
12.0%
ValueCountFrequency (%)
-144.511
 
< 0.1%
0119707
87.4%
2.11
 
< 0.1%
8.251
 
< 0.1%
8.3212
 
< 0.1%
8.551
 
< 0.1%
1038
 
< 0.1%
16.231
 
< 0.1%
18.321
 
< 0.1%
21.634
 
< 0.1%
ValueCountFrequency (%)
923607.731
< 0.1%
342528.491
< 0.1%
340512.791
< 0.1%
323931.421
< 0.1%
277844.881
< 0.1%
276128.641
< 0.1%
272066.021
< 0.1%
267206.271
< 0.1%
258922.271
< 0.1%
249634.911
< 0.1%

KOSTEN_VERLOSKUNDIGE_ZORG
Real number (ℝ)

High correlation  Zeros 

Distinct14541
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1534.488
Minimum-152.78
Maximum845092.35
Zeros118983
Zeros (%)86.9%
Negative1
Negative (%)< 0.1%
Memory size1.0 MiB
2026-01-13T18:40:33.038834image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-152.78
5-th percentile0
Q10
median0
Q30
95-th percentile7889.535
Maximum845092.35
Range845245.13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8216.9225
Coefficient of variation (CV)5.3548299
Kurtosis1013.1146
Mean1534.488
Median Absolute Deviation (MAD)0
Skewness18.26861
Sum2.1009597 × 108
Variance67517815
MonotonicityNot monotonic
2026-01-13T18:40:33.132350image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0118983
86.9%
294.18290
 
0.2%
36.48200
 
0.1%
1563.0689
 
0.1%
1636.0285
 
0.1%
1599.5481
 
0.1%
43.7778
 
0.1%
211.5477
 
0.1%
167.7768
 
< 0.1%
72.9662
 
< 0.1%
Other values (14531)16903
 
12.3%
ValueCountFrequency (%)
-152.781
 
< 0.1%
0118983
86.9%
27.638
 
< 0.1%
34.82
 
< 0.1%
36.48200
 
0.1%
42.032
 
< 0.1%
43.6213
 
< 0.1%
43.7778
 
0.1%
46.221
 
< 0.1%
47.092
 
< 0.1%
ValueCountFrequency (%)
845092.351
< 0.1%
333279.31
< 0.1%
326058.551
< 0.1%
321894.71
< 0.1%
305078.571
< 0.1%
253928.231
< 0.1%
249941.541
< 0.1%
241222.061
< 0.1%
237421.581
< 0.1%
235764.891
< 0.1%

KOSTEN_GENERALISTISCHE_BASIS_GGZ
Real number (ℝ)

High correlation  Skewed  Zeros 

Distinct29818
Distinct (%)21.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1534.6378
Minimum-218.41
Maximum526191.06
Zeros75148
Zeros (%)54.9%
Negative2
Negative (%)< 0.1%
Memory size1.0 MiB
2026-01-13T18:40:33.227120image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-218.41
5-th percentile0
Q10
median0
Q31686.58
95-th percentile7315.235
Maximum526191.06
Range526409.47
Interquartile range (IQR)1686.58

Descriptive statistics

Standard deviation3650.8531
Coefficient of variation (CV)2.3789673
Kurtosis3180.7882
Mean1534.6378
Median Absolute Deviation (MAD)0
Skewness26.699945
Sum2.1011646 × 108
Variance13328729
MonotonicityNot monotonic
2026-01-13T18:40:33.322739image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
075148
54.9%
1262.822028
 
1.5%
1199.681122
 
0.8%
1136.54905
 
0.7%
1165.48895
 
0.7%
805.34707
 
0.5%
1212.31701
 
0.5%
765.07660
 
0.5%
724.81607
 
0.4%
192.92521
 
0.4%
Other values (29808)53622
39.2%
ValueCountFrequency (%)
-218.411
 
< 0.1%
-100.321
 
< 0.1%
075148
54.9%
4.61
 
< 0.1%
12.861
 
< 0.1%
18.631
 
< 0.1%
35.921
 
< 0.1%
44.291
 
< 0.1%
58.51
 
< 0.1%
59.341
 
< 0.1%
ValueCountFrequency (%)
526191.061
< 0.1%
114056.41
< 0.1%
105632.971
< 0.1%
105581.31
< 0.1%
99291.361
< 0.1%
96471.451
< 0.1%
93100.251
< 0.1%
92134.181
< 0.1%
87265.941
< 0.1%
83322.561
< 0.1%

KOSTEN_LANGDURIGE_GGZ
Real number (ℝ)

Zeros 

Distinct2031
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1069.9804
Minimum0
Maximum590133.67
Zeros134601
Zeros (%)98.3%
Negative0
Negative (%)0.0%
Memory size1.0 MiB
2026-01-13T18:40:33.412315image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum590133.67
Range590133.67
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11172.989
Coefficient of variation (CV)10.442238
Kurtosis381.10338
Mean1069.9804
Median Absolute Deviation (MAD)0
Skewness16.266098
Sum1.4649743 × 108
Variance1.2483569 × 108
MonotonicityNot monotonic
2026-01-13T18:40:33.506923image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0134601
98.3%
87191.226
 
< 0.1%
87906.623
 
< 0.1%
88618.3521
 
< 0.1%
144295.4510
 
< 0.1%
89330.18
 
< 0.1%
87913.98
 
< 0.1%
79679.57
 
< 0.1%
85055.957
 
< 0.1%
146832.27
 
< 0.1%
Other values (2021)2198
 
1.6%
ValueCountFrequency (%)
0134601
98.3%
216.471
 
< 0.1%
239.471
 
< 0.1%
477.761
 
< 0.1%
478.941
 
< 0.1%
479.721
 
< 0.1%
482.641
 
< 0.1%
483.041
 
< 0.1%
519.961
 
< 0.1%
604.771
 
< 0.1%
ValueCountFrequency (%)
590133.671
< 0.1%
475537.491
< 0.1%
448251.021
< 0.1%
427507.441
< 0.1%
415939.051
< 0.1%
413689.141
< 0.1%
402215.011
< 0.1%
378518.771
< 0.1%
376641.251
< 0.1%
376625.251
< 0.1%

KOSTEN_GRENSOVERSCHRIJDENDE_ZORG
Real number (ℝ)

High correlation  Skewed  Zeros 

Distinct64331
Distinct (%)47.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2240.297
Minimum-378.77
Maximum38535043
Zeros53547
Zeros (%)39.1%
Negative1
Negative (%)< 0.1%
Memory size1.0 MiB
2026-01-13T18:40:33.755006image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-378.77
5-th percentile0
Q10
median98.35
Q3839.0575
95-th percentile9513.81
Maximum38535043
Range38535422
Interquartile range (IQR)839.0575

Descriptive statistics

Standard deviation104431.15
Coefficient of variation (CV)46.614867
Kurtosis135381.91
Mean2240.297
Median Absolute Deviation (MAD)98.35
Skewness366.91426
Sum3.067325 × 108
Variance1.0905865 × 1010
MonotonicityNot monotonic
2026-01-13T18:40:33.854081image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
053547
39.1%
27.63455
 
0.3%
25336
 
0.2%
50292
 
0.2%
27.65167
 
0.1%
55.27151
 
0.1%
100145
 
0.1%
60140
 
0.1%
40132
 
0.1%
80116
 
0.1%
Other values (64321)81435
59.5%
ValueCountFrequency (%)
-378.771
 
< 0.1%
053547
39.1%
0.12
 
< 0.1%
0.121
 
< 0.1%
0.141
 
< 0.1%
0.31
 
< 0.1%
0.591
 
< 0.1%
0.621
 
< 0.1%
0.751
 
< 0.1%
0.791
 
< 0.1%
ValueCountFrequency (%)
38535043.171
< 0.1%
565883.311
< 0.1%
390986.861
< 0.1%
381327.751
< 0.1%
341457.941
< 0.1%
315654.541
< 0.1%
306170.231
< 0.1%
265454.141
< 0.1%
262315.631
< 0.1%
261113.431
< 0.1%

KOSTEN_EERSTELIJNS_ONDERSTEUNING
Real number (ℝ)

Zeros 

Distinct687
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.014788
Minimum0
Maximum753.88
Zeros58122
Zeros (%)42.5%
Negative0
Negative (%)0.0%
Memory size1.0 MiB
2026-01-13T18:40:33.948978image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.88
Q35.64
95-th percentile35.72
Maximum753.88
Range753.88
Interquartile range (IQR)5.64

Descriptive statistics

Standard deviation25.490399
Coefficient of variation (CV)3.1804209
Kurtosis64.744321
Mean8.014788
Median Absolute Deviation (MAD)1.88
Skewness6.9966261
Sum1097352.7
Variance649.76046
MonotonicityNot monotonic
2026-01-13T18:40:34.043630image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
058122
42.5%
1.8826573
19.4%
3.7613272
 
9.7%
5.647216
 
5.3%
7.524389
 
3.2%
9.42690
 
2.0%
11.281991
 
1.5%
13.161389
 
1.0%
15.041131
 
0.8%
1.41977
 
0.7%
Other values (677)19166
 
14.0%
ValueCountFrequency (%)
058122
42.5%
0.47384
 
0.3%
0.94412
 
0.3%
1.41977
 
0.7%
1.8826573
19.4%
2.35274
 
0.2%
2.82329
 
0.2%
3.29817
 
0.6%
3.7613272
 
9.7%
4.23177
 
0.1%
ValueCountFrequency (%)
753.881
< 0.1%
452.611
< 0.1%
447.911
< 0.1%
429.111
< 0.1%
412.661
< 0.1%
402.321
< 0.1%
401.851
< 0.1%
399.51
< 0.1%
398.561
< 0.1%
395.271
< 0.1%

KOSTEN_GERIATRISCHE_REVALIDATIEZORG
Real number (ℝ)

High correlation  Zeros 

Distinct11575
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5202.7493
Minimum0
Maximum917725.19
Zeros113073
Zeros (%)82.6%
Negative0
Negative (%)0.0%
Memory size1.0 MiB
2026-01-13T18:40:34.139839image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile33003.253
Maximum917725.19
Range917725.19
Interquartile range (IQR)0

Descriptive statistics

Standard deviation18580.47
Coefficient of variation (CV)3.5712792
Kurtosis231.60991
Mean5202.7493
Median Absolute Deviation (MAD)0
Skewness10.055089
Sum7.1233963 × 108
Variance3.4523388 × 108
MonotonicityNot monotonic
2026-01-13T18:40:34.233610image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0113073
82.6%
10821.25408
 
0.3%
10663.03277
 
0.2%
12914.82201
 
0.1%
19172.94184
 
0.1%
5677.02182
 
0.1%
10932.81167
 
0.1%
5594.02154
 
0.1%
14034.6149
 
0.1%
18892.62144
 
0.1%
Other values (11565)21977
 
16.1%
ValueCountFrequency (%)
0113073
82.6%
256.931
 
< 0.1%
258.051
 
< 0.1%
262.081
 
< 0.1%
263.421
 
< 0.1%
263.611
 
< 0.1%
293.391
 
< 0.1%
293.412
 
< 0.1%
296.391
 
< 0.1%
296.41
 
< 0.1%
ValueCountFrequency (%)
917725.191
< 0.1%
838777.41
< 0.1%
7991031
< 0.1%
775131.871
< 0.1%
646977.021
< 0.1%
631471.511
< 0.1%
600087.921
< 0.1%
592651.661
< 0.1%
583976.091
< 0.1%
499252.041
< 0.1%

KOSTEN_VERPLEGING_EN_VERZORGING
Real number (ℝ)

High correlation  Zeros 

Distinct67257
Distinct (%)49.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25079.221
Minimum-2784.46
Maximum5598974.6
Zeros63022
Zeros (%)46.0%
Negative3
Negative (%)< 0.1%
Memory size1.0 MiB
2026-01-13T18:40:34.323029image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-2784.46
5-th percentile0
Q10
median244.635
Q318909.315
95-th percentile121325.88
Maximum5598974.6
Range5601759.1
Interquartile range (IQR)18909.315

Descriptive statistics

Standard deviation84878.18
Coefficient of variation (CV)3.3844025
Kurtosis463.31233
Mean25079.221
Median Absolute Deviation (MAD)244.635
Skewness15.294696
Sum3.4337467 × 109
Variance7.2043055 × 109
MonotonicityNot monotonic
2026-01-13T18:40:34.415651image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
063022
46.0%
682159
 
0.1%
136459
 
< 0.1%
162.9654
 
< 0.1%
72240
 
< 0.1%
53.5240
 
< 0.1%
108.9637
 
< 0.1%
54.4835
 
< 0.1%
163.4433
 
< 0.1%
81.7232
 
< 0.1%
Other values (67247)73405
53.6%
ValueCountFrequency (%)
-2784.461
 
< 0.1%
-1374.841
 
< 0.1%
-988.261
 
< 0.1%
063022
46.0%
3.771
 
< 0.1%
4.261
 
< 0.1%
4.341
 
< 0.1%
4.411
 
< 0.1%
4.443
 
< 0.1%
4.461
 
< 0.1%
ValueCountFrequency (%)
5598974.621
< 0.1%
4198428.661
< 0.1%
3974729.991
< 0.1%
3292775.151
< 0.1%
3285374.971
< 0.1%
3232666.391
< 0.1%
3098720.721
< 0.1%
2990976.751
< 0.1%
2699196.451
< 0.1%
2677345.291
< 0.1%

KOSTEN_OVERIG
Real number (ℝ)

High correlation  Zeros 

Distinct58737
Distinct (%)42.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3979.0777
Minimum-1432.6
Maximum834029.68
Zeros48825
Zeros (%)35.7%
Negative7
Negative (%)< 0.1%
Memory size1.0 MiB
2026-01-13T18:40:34.508988image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-1432.6
5-th percentile0
Q10
median253.2
Q31969.3775
95-th percentile20354.397
Maximum834029.68
Range835462.28
Interquartile range (IQR)1969.3775

Descriptive statistics

Standard deviation13933.26
Coefficient of variation (CV)3.5016305
Kurtosis335.87418
Mean3979.0777
Median Absolute Deviation (MAD)253.2
Skewness12.631014
Sum5.4479941 × 108
Variance1.9413573 × 108
MonotonicityNot monotonic
2026-01-13T18:40:34.600498image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
048825
35.7%
90886
 
0.6%
63.03756
 
0.6%
354.76471
 
0.3%
72.74436
 
0.3%
98.91377
 
0.3%
2222.36370
 
0.3%
262.39357
 
0.3%
50.19356
 
0.3%
67.86354
 
0.3%
Other values (58727)83728
61.2%
ValueCountFrequency (%)
-1432.61
 
< 0.1%
-761.821
 
< 0.1%
-564.291
 
< 0.1%
-119.781
 
< 0.1%
-114.661
 
< 0.1%
-56.041
 
< 0.1%
-31.951
 
< 0.1%
048825
35.7%
11
 
< 0.1%
31
 
< 0.1%
ValueCountFrequency (%)
834029.681
< 0.1%
762560.691
< 0.1%
548580.591
< 0.1%
495262.091
< 0.1%
477522.071
< 0.1%
449540.11
< 0.1%
437208.271
< 0.1%
415266.051
< 0.1%
395285.251
< 0.1%
384571.361
< 0.1%

Interactions

2026-01-13T18:40:25.961031image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-13T18:39:36.370896image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-13T18:39:38.375696image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-13T18:39:40.350046image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-13T18:39:42.562993image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-13T18:39:44.538094image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-13T18:39:46.345637image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-13T18:39:48.508804image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-13T18:39:50.711613image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-13T18:39:52.696178image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-13T18:39:54.950670image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-13T18:39:57.112457image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-13T18:39:59.120866image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-13T18:40:01.074596image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-13T18:40:03.244469image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-13T18:40:05.162219image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-13T18:40:07.364043image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2026-01-13T18:40:09.375092image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-13T18:40:11.382370image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-13T18:40:13.297953image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-13T18:40:15.461800image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-13T18:40:17.620188image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-13T18:40:19.713418image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-13T18:40:21.868627image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-13T18:40:23.962172image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-13T18:40:25.884678image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Correlations

2026-01-13T18:40:34.701012image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
AANTAL_BSNAANTAL_VERZEKERDEJARENGESLACHTKOSTEN_EERSTELIJNS_ONDERSTEUNINGKOSTEN_FARMACIEKOSTEN_GENERALISTISCHE_BASIS_GGZKOSTEN_GERIATRISCHE_REVALIDATIEZORGKOSTEN_GRENSOVERSCHRIJDENDE_ZORGKOSTEN_HUISARTS_CONSULTKOSTEN_HUISARTS_INSCHRIJFTARIEFKOSTEN_HUISARTS_MDZKOSTEN_HUISARTS_OVERIGKOSTEN_HULPMIDDELENKOSTEN_KRAAMZORGKOSTEN_LANGDURIGE_GGZKOSTEN_MEDISCH_SPECIALISTISCHE_ZORGKOSTEN_MONDZORGKOSTEN_OVERIGKOSTEN_PARAMEDISCHE_ZORG_FYSIOTHERAPIEKOSTEN_PARAMEDISCHE_ZORG_OVERIGKOSTEN_SPECIALISTISCHE_GGZKOSTEN_VERLOSKUNDIGE_ZORGKOSTEN_VERPLEGING_EN_VERZORGINGKOSTEN_ZIEKENVERVOER_LIGGENDKOSTEN_ZIEKENVERVOER_ZITTENDPOSTCODE_3
AANTAL_BSN1.0000.9971.0000.3510.6250.5070.0690.5830.7700.9690.4580.9030.5240.0760.1230.6880.5000.4370.5620.5720.5250.0770.2060.4940.320-0.276
AANTAL_VERZEKERDEJAREN0.9971.0001.0000.3550.6230.5130.0650.5850.7680.9740.4610.8970.5250.0790.1230.6770.5060.4340.5550.5710.5310.0800.2020.4850.323-0.274
GESLACHT1.0001.0001.0000.0060.0070.0130.0491.0000.0001.0000.0001.0000.0210.0500.0141.0000.0070.0130.0240.0380.0000.0370.0420.0000.0050.000
KOSTEN_EERSTELIJNS_ONDERSTEUNING0.3510.3550.0061.0000.0730.238-0.1600.1080.1790.2990.0130.3220.0280.0950.0610.1030.1140.0440.0490.1280.2080.099-0.1080.0320.0340.176
KOSTEN_FARMACIE0.6250.6230.0070.0731.0000.3690.4580.4600.8350.7310.8290.7130.843-0.0660.1030.8830.3740.5480.5680.4160.476-0.0670.7030.7960.512-0.193
KOSTEN_GENERALISTISCHE_BASIS_GGZ0.5070.5130.0130.2380.3691.000-0.0570.3370.4510.4670.2630.4330.2400.3380.1230.372-0.0580.1170.0620.0870.6780.3400.0580.2620.190-0.156
KOSTEN_GERIATRISCHE_REVALIDATIEZORG0.0690.0650.049-0.1600.458-0.0571.0000.0980.3640.2050.4690.2390.499-0.1660.0170.4250.2070.3760.3090.2320.062-0.1690.5800.5220.288-0.071
KOSTEN_GRENSOVERSCHRIJDENDE_ZORG0.5830.5851.0000.1080.4600.3370.0981.0000.5140.5910.3740.5240.3820.0690.0830.4910.2970.2890.3820.3270.3630.0700.2060.3710.273-0.268
KOSTEN_HUISARTS_CONSULT0.7700.7680.0000.1790.8350.4510.3640.5141.0000.8400.7280.8240.7500.1010.1070.8430.4090.5550.5870.5350.5170.1030.5640.7230.456-0.213
KOSTEN_HUISARTS_INSCHRIJFTARIEF0.9690.9741.0000.2990.7310.4670.2050.5910.8401.0000.5850.9230.6470.0340.1210.7650.5500.5140.6160.6070.5120.0340.3550.6010.385-0.281
KOSTEN_HUISARTS_MDZ0.4580.4610.0000.0130.8290.2630.4690.3740.7280.5851.0000.5470.766-0.1610.0820.7670.3420.4830.4780.3050.377-0.1640.6890.7250.469-0.136
KOSTEN_HUISARTS_OVERIG0.9030.8971.0000.3220.7130.4330.2390.5240.8240.9230.5471.0000.6340.0620.1100.7590.4790.5170.5840.6070.4700.0640.3900.6250.363-0.222
KOSTEN_HULPMIDDELEN0.5240.5250.0210.0280.8430.2400.4990.3820.7500.6470.7660.6341.000-0.1100.0790.8000.4250.5650.5840.4590.337-0.1140.7380.7410.497-0.148
KOSTEN_KRAAMZORG0.0760.0790.0500.095-0.0660.338-0.1660.0690.1010.034-0.1610.062-0.1101.0000.0130.024-0.256-0.052-0.184-0.0250.2780.965-0.192-0.087-0.040-0.028
KOSTEN_LANGDURIGE_GGZ0.1230.1230.0140.0610.1030.1230.0170.0830.1070.1210.0820.1100.0790.0131.0000.0980.0320.0540.0460.0410.1550.0130.0450.0950.055-0.014
KOSTEN_MEDISCH_SPECIALISTISCHE_ZORG0.6880.6771.0000.1030.8830.3720.4250.4910.8430.7650.7670.7590.8000.0240.0981.0000.3990.5540.5990.4720.4530.0210.6400.8060.547-0.211
KOSTEN_MONDZORG0.5000.5060.0070.1140.374-0.0580.2070.2970.4090.5500.3420.4790.425-0.2560.0320.3991.0000.3650.6100.600-0.043-0.2550.2820.3200.249-0.106
KOSTEN_OVERIG0.4370.4340.0130.0440.5480.1170.3760.2890.5550.5140.4830.5170.565-0.0520.0540.5540.3651.0000.4400.4650.195-0.0600.4790.5150.359-0.124
KOSTEN_PARAMEDISCHE_ZORG_FYSIOTHERAPIE0.5620.5550.0240.0490.5680.0620.3090.3820.5870.6160.4780.5840.584-0.1840.0460.5990.6100.4401.0000.5970.096-0.1830.4460.4920.344-0.171
KOSTEN_PARAMEDISCHE_ZORG_OVERIG0.5720.5710.0380.1280.4160.0870.2320.3270.5350.6070.3050.6070.459-0.0250.0410.4720.6000.4650.5971.0000.072-0.0240.3120.3620.253-0.193
KOSTEN_SPECIALISTISCHE_GGZ0.5250.5310.0000.2080.4760.6780.0620.3630.5170.5120.3770.4700.3370.2780.1550.453-0.0430.1950.0960.0721.0000.2800.1690.3800.264-0.118
KOSTEN_VERLOSKUNDIGE_ZORG0.0770.0800.0370.099-0.0670.340-0.1690.0700.1030.034-0.1640.064-0.1140.9650.0130.021-0.255-0.060-0.183-0.0240.2801.000-0.194-0.090-0.041-0.023
KOSTEN_VERPLEGING_EN_VERZORGING0.2060.2020.042-0.1080.7030.0580.5800.2060.5640.3550.6890.3900.738-0.1920.0450.6400.2820.4790.4460.3120.169-0.1941.0000.6810.430-0.076
KOSTEN_ZIEKENVERVOER_LIGGEND0.4940.4850.0000.0320.7960.2620.5220.3710.7230.6010.7250.6250.741-0.0870.0950.8060.3200.5150.4920.3620.380-0.0900.6811.0000.450-0.181
KOSTEN_ZIEKENVERVOER_ZITTEND0.3200.3230.0050.0340.5120.1900.2880.2730.4560.3850.4690.3630.497-0.0400.0550.5470.2490.3590.3440.2530.264-0.0410.4300.4501.000-0.050
POSTCODE_3-0.276-0.2740.0000.176-0.193-0.156-0.071-0.268-0.213-0.281-0.136-0.222-0.148-0.028-0.014-0.211-0.106-0.124-0.171-0.193-0.118-0.023-0.076-0.181-0.0501.000

Missing values

2026-01-13T18:40:28.056255image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
A simple visualization of nullity by column.
2026-01-13T18:40:28.378547image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2026-01-13T18:40:28.769145image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

GESLACHTLEEFTIJDSKLASSEPOSTCODE_3AANTAL_BSNAANTAL_VERZEKERDEJARENKOSTEN_MEDISCH_SPECIALISTISCHE_ZORGKOSTEN_FARMACIEKOSTEN_SPECIALISTISCHE_GGZKOSTEN_HUISARTS_INSCHRIJFTARIEFKOSTEN_HUISARTS_CONSULTKOSTEN_HUISARTS_MDZKOSTEN_HUISARTS_OVERIGKOSTEN_HULPMIDDELENKOSTEN_MONDZORGKOSTEN_PARAMEDISCHE_ZORG_FYSIOTHERAPIEKOSTEN_PARAMEDISCHE_ZORG_OVERIGKOSTEN_ZIEKENVERVOER_ZITTENDKOSTEN_ZIEKENVERVOER_LIGGENDKOSTEN_KRAAMZORGKOSTEN_VERLOSKUNDIGE_ZORGKOSTEN_GENERALISTISCHE_BASIS_GGZKOSTEN_LANGDURIGE_GGZKOSTEN_GRENSOVERSCHRIJDENDE_ZORGKOSTEN_EERSTELIJNS_ONDERSTEUNINGKOSTEN_GERIATRISCHE_REVALIDATIEZORGKOSTEN_VERPLEGING_EN_VERZORGINGKOSTEN_OVERIG
0NaNNaNNaN356551196219.7446978766.768368957.117669881.833973069.451261062.66793129.653402557.071675945.12938749.29340085.91258441.47136850.01863993.75923607.73845092.35526191.06120330.7738535043.17753.88281934.95696777.02495262.09
1M00.0330145.141124998.0225381.100.005278.156296.83122.1412654.511338.102062.2716851.352565.800.011936.650.000.000.000.004178.5346.060.000.000.00
2M0101.0579278.411786934.2632112.930.008995.6711378.90619.7121995.331736.69219.5118708.97122.800.013096.150.000.000.000.005221.256.580.00200.252211.57
3M0102.0312157.66950071.2512782.990.005950.247131.80135.5717602.211024.3997.5910164.69265.280.09365.320.000.000.000.001206.223.760.000.00131.87
4M0103.0341166.931344150.9124840.020.005616.567491.80195.6519003.186021.99223.1911792.31561.500.010201.430.000.000.000.00293.444.230.003333.95445.49
5M0105.0957454.982704233.2449095.530.0016008.6119426.951307.5943927.747059.73539.3130362.551097.200.031900.820.000.000.000.002435.0310.340.00176.67593.30
6M0106.01099546.944142347.5090956.510.0020634.1726067.421652.9873371.208767.5165.0947360.312185.770.037907.350.000.000.000.004916.7911.750.00843.361549.87
7M0107.0653327.822460736.5666963.340.0011042.9013761.072920.7329109.527507.39841.4637536.902384.040.023290.240.000.000.000.006923.865.170.009170.22570.07
8M0108.0285143.231171622.5233917.010.004768.536665.661576.6215280.092583.47149.5515982.32159.500.013941.080.000.000.000.0044956.420.470.00844.44153.20
9M0109.0572286.341566585.2548131.650.0010077.9812631.00760.4531746.885188.4144.5617210.121304.090.011347.650.000.000.000.001202.488.460.0013.62105.15
GESLACHTLEEFTIJDSKLASSEPOSTCODE_3AANTAL_BSNAANTAL_VERZEKERDEJARENKOSTEN_MEDISCH_SPECIALISTISCHE_ZORGKOSTEN_FARMACIEKOSTEN_SPECIALISTISCHE_GGZKOSTEN_HUISARTS_INSCHRIJFTARIEFKOSTEN_HUISARTS_CONSULTKOSTEN_HUISARTS_MDZKOSTEN_HUISARTS_OVERIGKOSTEN_HULPMIDDELENKOSTEN_MONDZORGKOSTEN_PARAMEDISCHE_ZORG_FYSIOTHERAPIEKOSTEN_PARAMEDISCHE_ZORG_OVERIGKOSTEN_ZIEKENVERVOER_ZITTENDKOSTEN_ZIEKENVERVOER_LIGGENDKOSTEN_KRAAMZORGKOSTEN_VERLOSKUNDIGE_ZORGKOSTEN_GENERALISTISCHE_BASIS_GGZKOSTEN_LANGDURIGE_GGZKOSTEN_GRENSOVERSCHRIJDENDE_ZORGKOSTEN_EERSTELIJNS_ONDERSTEUNINGKOSTEN_GERIATRISCHE_REVALIDATIEZORGKOSTEN_VERPLEGING_EN_VERZORGINGKOSTEN_OVERIG
136906V90+986.06055.3268436.7146633.441990.645348.8822070.385363.1310702.9640854.991214.960.00640.500.08331.360.00.00.000.00.001.880.00159632.5026012.70
136907V90+990.0123107.37169368.3285783.6219345.6310120.9222429.307599.0212402.0074884.341317.7617015.90582.201330.021390.440.00.01010.260.00.000.0021124.01616432.2633011.82
136908V90+991.05447.1251423.6853651.952101.255060.4627292.245858.437414.4243662.201057.091507.80700.550.07662.950.00.00.000.00.000.005677.02264190.6413587.84
136909V90+993.0183166.36296607.32143427.3835774.2415181.3826272.7510969.6230615.40109523.555642.257050.461673.300.036787.590.00.00.000.0252.513.7637599.55784496.2634423.08
136910V90+994.03330.9356171.6322300.355711.652622.005254.563785.282848.5911561.42208.020.000.000.04708.220.00.00.000.00.000.0019172.94113591.452434.56
136911V90+995.09783.20172813.8766113.712554.207161.4018886.377805.7717350.1140173.96601.987668.551741.420.032196.160.00.00.000.00.001.8889439.64233745.5543097.16
136912V90+996.04441.9154520.2628462.631041.713198.8412674.726218.025870.8216935.03344.950.000.000.08858.280.00.00.000.00.000.005677.02227809.890.00
136913V90+997.02423.1752800.3815782.661866.952438.469265.173313.013345.8017489.76760.94543.00274.170.07321.680.00.00.000.00.000.940.00193640.65610.20
136914V90+998.0122106.33295089.29108384.1827094.7911169.7235104.058219.9517497.8599369.30884.532257.503618.5728.937321.470.00.00.000.00.005.17143678.40965501.1222138.04
136915V90+999.03330.00106264.5133995.484223.833303.726679.173577.742842.4628172.65176.8245.15588.506922.45750.610.00.00.000.00.000.0032913.7581615.4025823.22